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This guy used Grok Bot to build a Quant Directional Movement system and it made $3,784 a day on Polymarket The result is already +$809,704 PnL in 214 days with about $2,832 per average trade, repeating the same setup 20 times every hour across BTC "Up or Down" markets...

14,074 Aufrufe • vor 9 Tagen •via X (Twitter)

13 Kommentare

Profilbild von qwinsi
qwinsivor 9 Tagen

The ADX filter is probably doing the heavy lifting here. Direction alone gives too many noisy signals.

Profilbild von Daniro
Danirovor 8 Tagen

The main task among a large amount of noise is to find those very signals that will still give an edge

Profilbild von sophs r,
sophs r,vor 8 Tagen

87% win rate and still one bad hour from zero, the math on these bots is always the same story

Profilbild von Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBackvor 8 Tagen

@Dan1ro0 I'd say the one tricky part is managing risk when the setup repeats so often. It’s easy to overlook, but keeping a tight eye on market conditions changes everything.

Profilbild von wast3
wast3vor 8 Tagen

his tool demonstrated a real-world example

Profilbild von GraviOrbit
GraviOrbitvor 8 Tagen

Bi bitmediniz

Profilbild von Anmol Kushwaha
Anmol Kushwahavor 8 Tagen

@grok is this true?

Profilbild von xsonss
xsonssvor 8 Tagen

Trend strength filter makes all difference

Profilbild von Arb Data Desk
Arb Data Deskvor 8 Tagen

$2,832 avg trade on BTC up/down, 20x/hr. that's not edge, that's fill assumptions. show me the fee schedule and slippage per fill before i believe any of it.

Profilbild von Sofi p
Sofi pvor 8 Tagen

87% win rate on btc up/down is wild, what happens when it chops sideways for a week

Profilbild von Humanity Wasted
Humanity Wastedvor 8 Tagen

214 days of consistent PnL is the only number that matters here. Anyone can show a green week, very few can show a green seven months with an automated system.

Profilbild von VALIX
VALIXvor 9 Tagen

I’ve always been amazed to see AI agent systems used for trading

Profilbild von Daniro
Danirovor 8 Tagen

This is becoming more and more common, with AI agents solving their own problems while uniting into a larger system

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This guy built an HFT algorithm on Polymarket with an average trade size of $34.90 Result: +$129,827 Nearly 99% of its volume comes from 5 minute BTC Up/Down markets, where it combines asynchronous pairing, MERGE, and a directional residual: 1. Accumulates both sides of the same market It bought both Up and Down in 79.6% of markets. The median gap between its first purchases of of the two outcomes is 8 seconds It uses price movements within each market to buy both sides at different times and prices 2. Frees up capital through MERGE It merges an equal number of shares from each side of the market For example: 100 Up + 80 Down 80 Up + 80 Down -> MERGE -> $80 If those matched pairs cost less than $1 each, the difference becomes a structural edge regardless of how the market resolves MERGE immediately frees up capital so it can be used again 3. Holds unpaired inventory until resolution In the example above, 20 Up shares remain after the MERGE This portion is unhedged and acts as a directional residual Its final pnl therefore depends on the edge from matched pairs, how efficiently it reuses capital, and the performance of its directional residual Its Polymarket account: flippingsharks Stats: > Trades per active hour: 73.18 > Average trade size: $34.90 > Win rate: 50.33% The bot’s main edge comes from a BUY -> pairing -> MERGE cycle: merging matched inventory frees up capital and locks in the edge on pairs bought for less than $1, while the unpaired portion stays directional until resolution

VALIX

22,698 Aufrufe • vor 11 Tagen